CGCarlos GaravitoCreative Technical Director · Generative AI

MONKS · CREATIVE TECHNICAL DIRECTOR, GENERATIVE AI

I turn ambitious creative ideas into production-ready AI systems.

I connect discovery, creative direction, technical architecture and delivery - helping teams move from possibility to repeatable production.

Explore the systemsView résumé
CREATIVE LEADERSHIP20+ years
APPLIED AIHands-on systems
ENTERPRISE DELIVERYClient-facing
ROLE FITCreative × Technical
01 / HOW I THINK

AI is not the product.

The workflow is.

Every prototype should become either a repeatable system or a clear decision.

Human review is a feature.

02 / OPERATING MODEL

From ambiguous brief to production system.

I create structure early, expose trade-offs, prototype uncertainty and build for the people who must operate the system after launch.

STEP 01

Discover the real problem.

Clarify business goals, users, assets, data, constraints, outputs, risks and the decisions that must be made before anything is built.

  • Stakeholder alignment
  • Asset and data readiness
  • Scope assumptions
03 / SYSTEMS

Systems I have designed.

Evidence of how I translate creative needs into architecture, workflows and organizational capability.

CASE 01AI PRODUCT + WORKFLOW ARCHITECTURE

Exhibit Design Engine

An AI-assisted concept system that transforms structured experiential briefs into configurable design directions.

INPUTSBriefs, DWGs, references, spatial rules
DECISION LAYERParameters, retrieval, routing, seeds
MODELSMultimodal generation and evaluation
OUTPUTSDirections, renders, presentation concepts
My role

Product vision, workflow architecture, feature definition, model strategy and cross-functional direction.

What it proves

I can turn an open creative problem into a configurable system with repeatable production logic.

Technical considerations

Asset retrieval, multimodal inputs, controllability, model routing, consistency and review.

CASE 02MULTIMODAL PRODUCTION

Creative Production Pipeline

A modular workflow across language, image, video and voice models while preserving art direction, continuity and human review.

BRIEF → MODEL ROUTING → GENERATION → QA → DELIVERY
CASE 03ENTERPRISE ADOPTION

AI Operating Framework

A practical system connecting executive ambition to prioritized use cases, governance, enablement and measurable adoption.

STRATEGY → PILOTS → GOVERNANCE → ENABLEMENT → SCALE
04 / DECISION FRAMEWORKS

Technical judgment over tool collecting.

The right model is the one that fits the production system - not the one generating the loudest demo.

FRAMEWORK 01

Choose for the system, not the demo.

QualityCreative threshold
ControlRepeatability
LatencyWorkflow fit
CostUnit economics
LicensingClient safety
IntegrationProduction stack
05 / MONKS

If I joined tomorrow.

I would focus first on reducing the distance between prototype and production.

  1. 01Standardize discovery for AI engagements so risk, inputs and constraints surface earlier.
  2. 02Build reusable delivery patterns for recurring image, video, content and experience-generation needs.
  3. 03Create practical model-evaluation criteria across quality, control, speed, cost and enterprise readiness.
  4. 04Strengthen technical documentation and handoffs across Solutions, Creative and implementation teams.
  5. 05Develop playbooks that help Creative Technologists move faster without sacrificing craft or governance.
LET'S BUILD WHAT COMES NEXT

Creative credibility.
Technical judgment.
Delivery accountability.

I am ready to help Monks turn ambitious AI opportunities into production systems that deliver.

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